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Homepage>BS Standards>25 MANUFACTURING ENGINEERING>25.040 Industrial automation systems>25.040.40 Industrial process measurement and control>BS ISO 8000-66:2021 Data quality Data quality management: Assessment indicators for data processing in manufacturing operations
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BS ISO 8000-66:2021 Data quality Data quality management: Assessment indicators for data processing in manufacturing operations

BS ISO 8000-66:2021

Data quality Data quality management: Assessment indicators for data processing in manufacturing operations

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Standard number:BS ISO 8000-66:2021
Pages:32
Released:2021-10-12
ISBN:978 0 539 02697 9
Status:Standard
BS ISO 8000-66:2021 Data Quality Management Standard

BS ISO 8000-66:2021 Data Quality Management: Assessment Indicators for Data Processing in Manufacturing Operations

Standard Number: BS ISO 8000-66:2021

Pages: 32

Released: 2021-10-12

ISBN: 978 0 539 02697 9

Status: Standard

Overview

In the fast-paced world of manufacturing, data quality is paramount. The BS ISO 8000-66:2021 standard provides a comprehensive framework for assessing data quality management in manufacturing operations. This standard is essential for organizations aiming to enhance their data processing capabilities and ensure the highest level of data integrity and reliability.

Why Choose BS ISO 8000-66:2021?

Data quality management is a critical aspect of modern manufacturing operations. Poor data quality can lead to inefficiencies, increased costs, and compromised decision-making. The BS ISO 8000-66:2021 standard offers a structured approach to evaluating and improving data quality, ensuring that your manufacturing processes are based on accurate and reliable data.

Key Features

  • Comprehensive Assessment Indicators: The standard provides detailed indicators for assessing data quality in various aspects of manufacturing operations, from data collection to processing and analysis.
  • Improved Data Integrity: By following the guidelines outlined in this standard, organizations can significantly enhance the integrity and reliability of their data.
  • Enhanced Decision-Making: High-quality data is crucial for making informed decisions. This standard helps ensure that your data is accurate, complete, and timely, leading to better decision-making and improved operational efficiency.
  • Compliance and Standardization: Adhering to the BS ISO 8000-66:2021 standard demonstrates your commitment to data quality and compliance with international best practices.

Who Should Use This Standard?

The BS ISO 8000-66:2021 standard is designed for a wide range of stakeholders in the manufacturing industry, including:

  • Data Quality Managers: Professionals responsible for overseeing data quality initiatives within their organizations.
  • Manufacturing Engineers: Engineers involved in the design, implementation, and optimization of manufacturing processes.
  • Quality Assurance Teams: Teams dedicated to ensuring the quality and reliability of manufacturing operations.
  • IT and Data Management Professionals: Individuals responsible for managing and maintaining data systems and infrastructure.

Benefits of Implementing BS ISO 8000-66:2021

Implementing the BS ISO 8000-66:2021 standard offers numerous benefits, including:

  • Increased Efficiency: High-quality data enables more efficient manufacturing processes, reducing waste and optimizing resource utilization.
  • Cost Savings: By improving data quality, organizations can minimize errors and rework, leading to significant cost savings.
  • Enhanced Customer Satisfaction: Reliable data ensures that products meet quality standards, resulting in higher customer satisfaction and loyalty.
  • Competitive Advantage: Organizations that prioritize data quality are better positioned to compete in the global marketplace.

Structure of the Standard

The BS ISO 8000-66:2021 standard is structured to provide a clear and systematic approach to data quality management. It includes the following sections:

  • Introduction: An overview of the importance of data quality in manufacturing operations.
  • Scope: Defines the scope and applicability of the standard.
  • Normative References: Lists the references that are essential for the application of the standard.
  • Terms and Definitions: Provides definitions of key terms used in the standard.
  • Assessment Indicators: Detailed indicators for assessing data quality in various aspects of manufacturing operations.
  • Implementation Guidelines: Practical guidelines for implementing the standard within your organization.

Conclusion

In today's data-driven manufacturing environment, ensuring data quality is more important than ever. The BS ISO 8000-66:2021 standard provides a robust framework for assessing and improving data quality management in manufacturing operations. By implementing this standard, organizations can enhance their data integrity, improve decision-making, and achieve greater operational efficiency.

Invest in the BS ISO 8000-66:2021 standard today and take the first step towards superior data quality management in your manufacturing operations.

DESCRIPTION

BS ISO 8000-66:2021


This standard BS ISO 8000-66:2021 Data quality is classified in these ICS categories:
  • 25.040.40 Industrial process measurement and control

This document specifies assessment indicators to support the assessment of organizational process maturity for data quality management in the context of manufacturing operations management as specified by IEC 62264-1.

The following are within scope of this document:

  • assessment indicators that are work products generated by data processing (as specified by ISO 8000-61 ) and, thus, enable rating of process performance, a process attribute specified by ISO/IEC 33020 ;

  • the role played by each work product in the processes of manufacturing operations management;

  • the connection of each work product to the outcomes of the processes of manufacturing operations management.

The following are outside the scope of this document:

  • assessment indicators for any of the other process attributes specified by ISO/IEC 33020 ;

  • methods or procedures to measure process capability.